Artificial intelligence is not only changing the world but also creating its own language. When reading about AI innovations, you encounter dozens of terms like LLM, RAG, and RLHF, which can confuse even technology experts. This glossary helps explain the most important concepts in the field in simple terms. Artificial General Intelligence, or AGI, is a system capable of outperforming the average human in many tasks. OpenAI CEO Sam Altman described it as "the equivalent of an average human you can hire as a colleague." This is reported by Techcrunch.com reports .
The concept of an AI agent, unlike simple chatbots, refers to a tool that performs a sequence of specific tasks on behalf of the user. For example, it can track expenses, book tickets, or make restaurant reservations. These systems operate autonomously by combining multiple AI models. API endpoints can be imagined as the "buttons" on the back end of software. Developers use these interfaces to connect different applications, allowing AI agents to manage third-party services without human intervention.
Chain-of-thought is a method where large language models solve problems by breaking them down into smaller, intermediate steps. Just as a human uses pen and paper to solve a complex math problem, AI performs logical steps sequentially to improve the quality of the final result. Although this process takes more time, the result is more accurate. Reasoning models are optimized using reinforcement learning to work in exactly this way.
Coding agents are specialized assistants in the field of software development. They do not just suggest code; they can autonomously write code, test it, and fix errors (debug). Such agents can work across an entire codebase and minimize human oversight. They can be compared to very fast interns who never sleep and never lose focus.
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